Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Mechanical Engineering (27)
- Electrical and Computer Engineering (14)
- Biomedical Engineering and Bioengineering (12)
- Biomechanical Engineering (4)
- Civil and Environmental Engineering (4)
-
- Aerospace Engineering (3)
- Chemical Engineering (2)
- Membrane Science (2)
- Systems Engineering and Multidisciplinary Design Optimization (2)
- Arts and Humanities (1)
- Biomedical (1)
- Business (1)
- Computer Engineering (1)
- Computer and Systems Architecture (1)
- Computer-Aided Engineering and Design (1)
- Controls and Control Theory (1)
- Education (1)
- Electronic Devices and Semiconductor Manufacturing (1)
- Environmental Engineering (1)
- Law (1)
- Life Sciences (1)
- Materials Science and Engineering (1)
- Medicine and Health Sciences (1)
- Nanoscience and Nanotechnology (1)
- Physical Sciences and Mathematics (1)
- Social and Behavioral Sciences (1)
- Keyword
-
- Electronic books. local (3)
- Active disturbance rejection control (2)
- Control theory (2)
- Harmonic elimination (2)
- Harmonic functions (2)
-
- Kalman filter (2)
- MEMS (2)
- Microelectromechanical systems (2)
- Orthopedic implants (2)
- Renewable energy (2)
- Rotors -- Dynamics (2)
- AFPs thermal hysteresis PROTEIN ANTIFREEZE T1N hysteresis T1D (1)
- AHP (1)
- Active health monitoring (1)
- Active magnetic bearing (1)
- Active magnetic bearings (1)
- Air flow (1)
- Air quality management (1)
- Anti-skid control (1)
- Antifreeze proteins (1)
- Atmospheric temperature (1)
- Atrial fibrillation (1)
- Axial oscillation (1)
- BTSP wrapper (1)
- Barrier injury (1)
- Bbioengineered model (1)
- Bearings (Machinery) (1)
- Biogeography (1)
- Biomechanics (1)
- Bone (1)
- Publication
- Publication Type
Articles 61 - 61 of 61
Full-Text Articles in Engineering
Creating A Reinforcement Learning Controller For Functional Electrical Stimulation Of A Human Arm, Philip S. Thomas, Michael Branicky, Antonie Van Den Bogert, Kathleen Jagodnik
Creating A Reinforcement Learning Controller For Functional Electrical Stimulation Of A Human Arm, Philip S. Thomas, Michael Branicky, Antonie Van Den Bogert, Kathleen Jagodnik
Mechanical Engineering Faculty Publications
Clinical tests have shown that the dynamics of a human arm, controlled using Functional Electrical Stimulation (FES), can vary significantly between and during trials. In this paper, we study the application of Reinforcement Learning to create a controller that can adapt to these
changing dynamics of a human arm. Development and tests were done in simulation using a two-dimensional arm model and Hill-based muscle dynamics. An actor-critic architecture is used with artificial neural networks for both the actor and the critic. We begin by training it using a Proportional Derivative (PD) controller as a supervisor. We then make clinically relevant …